Frontier AI deployment is colliding with enterprise risk management as organizations adopt AI “workforces” without building adequate oversight infrastructure. An essay by Hebbia founder George Sivulka argues that the agent era delivered the opposite of promised efficiency because many companies cannot clearly define tasks and context for autonomous systems. The piece describes a failure mode in which agents scale dysfunction instantly, likening the situation to the rapid expansion of U.S. rail networks before modern management systems emerged after a fatal 1841 crash. Sivulka’s warning centers on “context clarity” as a scarce organizational skill rather than a model capability issue. For universities and professional programs, the implication is immediate: curricula and student practice frameworks for AI tools must include operational controls, documentation standards, and accountability design—not just prompt engineering or model access.